LAUSR

Abstract Solving diagnostic errors is difficult and progress on preventing those errors has been slow since the 2015 National Academy of Medicine report. There are several methods used to improve diagnostic and other errors including voluntary reporting; malpractice claims; patient complaints; physician surveys, random quality reviews and audits, and peer review data which usually evaluates single cases and not the systems that allowed the error. Additionally, manual review of charts is often labor intensive and reviewer dependent. In 2010 we developed an e-Autopsy/e-Biopsy (eA/eB) methodology to aggregate cases with quality/safety/diagnostic issues, focusing on a specific population of patients and conditions. By performing a hybrid review process (cases are first filtered using administrative data followed by standardized manual chart reviews) we can efficiently identify patterns of medical and diagnostic error leading to opportunities for system improvements that have improved care for future patients. We present a detailed methodology for eA/eB studies and describe results from three successful studies on different diagnoses (ectopic pregnancy, abdominal aortic aneurysms, and advanced colon cancer) that illustrate our eA/eB process and how it reveals insights into creating systems that reduce diagnostic and other errors. The eA/eB process is innovative and transferable to other healthcare organizations and settings to identify trends in diagnostic error and other quality issues resulting in improved systems of care.